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HMM-driven Smart White-space-aware Frame Control Protocol for coexistence of ZigBee and WiFi

机译:HMM驱动的智能空白空间帧控制协议,用于ZigBee和WiFi的共存

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摘要

ZigBee has been used more and more extensively in various applications such as wireless patient monitoring, herds monitoring, smart control in home networking and game remote controllers, etc. Most of these applications are performance-sensitive so the throughput and packet delivery ratio should be guaranteed for ZigBee system to work properly. However, since both WiFi and ZigBee are operated in unlicensed ISM spectrum, the interferences from WiFi hotspots make the coexistence of ZigBee and WiFi a big challenge. WiFi traffic contains quite a lot of white spaces between frame clusters in the time domain which could be taken advantage of to improve the performance of the systems with the coexistence of ZigBee and WiFi. Most existing mechanisms dealing with the coexistence of heterogeneous wireless systems neglects this important fact. In this paper, we propose a novel approach that ensures high performance of ZigBee in spite of the presence of strong interference from WiFi, and at the same time keep the WiFi performance almost unaffected. Our approach is to learn a Hidden Markov Model (HMM) based on traces of WiFi whitespaces in the current network. With such a HMM model we can accurately characterize the dynamic distribution of the durations of white spaces in different times. Based on the HMM model of white spaces and the analysis of system performance we develop a novel ZigBee frame control protocol called HMM-driven Smart White-space-aware Frame Control Protocol which can allow ZigBee networks to coexist with WiFi networks with desired link throughput and packet delivery ratio. Some initial experimental results have shown the effectiveness of our protocol.
机译:ZigBee在诸如无线患者监测,畜群监控,智能控制中的各种应用中使用了越来越多的应用,这些应用程序等大多数这些应用是性能敏感的,因此应保证吞吐量和数据包传递比率对于ZigBee系统正常工作。然而,由于WiFi和Zigbee都在未许可ISM频谱中运行,因此来自WiFi热点的干扰使得ZigBee和WiFi的共存成为一个大挑战。 WiFi流量在时域中的帧集群之间包含了很多白色空间,这可以利用ZigBee和WiFi的共存系统的系统的性能。处理异构无线系统共存的大多数现有机制忽略了这一重要事实。在本文中,我们提出了一种新的方法,尽管存在强烈的WiFi干扰,但仍然可以确保ZigBee的高性能,同时保持WiFi性能几乎不受影响。我们的方法是基于当前网络中的WiFi WhiteSpace的痕迹来学习隐藏的马尔可夫模型(HMM)。利用这种HMM模型,我们可以在不同时间准确地表征白色空间持续时间的动态分布。基于白色空间的HMM模型和系统性能分析,我们开发了一种名为HMM驱动的智能空白空间感知帧控制协议的新型ZigBee帧控制协议,其可以允许ZigBee网络与WiFi网络共存,具有所需的链接吞吐量和数据包传递比率。一些初步的实验结果表明了我们的协议的有效性。

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